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- W2164532030 abstract "We study the existence and global exponential stability of posi- tive periodic solutions for a class of continuous-time generalized bidirectional neural networks with variable coecients and delays. Discrete-time analogues of the continuous-time networks are formulated and the existence and global exponential stability of positive periodic solutions are studied using the con- tinuation theorem of coincidence degree theory and Lyapunov functionals. It is shown that the existence and global exponential stability of positive periodic solutions of the continuous-time networks are preserved by the discrete-time analogues under some restriction on the discretization step-size. An example is given to illustrate the results obtained." @default.
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- W2164532030 date "2006-03-16" @default.
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- W2164532030 title "EXISTENCE AND EXPONENTIAL STABILITY OF PERIODIC SOLUTION FOR CONTINUOUS-TIME AND DISCRETE-TIME GENERALIZED BIDIRECTIONAL NEURAL NETWORKS" @default.
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